This repo is a collection of different experiments, projects, and notebooks I created to explore how to build effective AI agents!
I wanted to dive head-first into building AI agents and learn how to work with a a diverse toolkit of the latest innovations in LLMs, agents, and frameworks.
Some of the tools I've played around with through this adventure include:
- Claude
- LangChain and LangGraph
- the Instructor library
- Pydantic
- Tool-calling frameworks
- Structured output
- And more!
I found the following resources super helpful while exploring how to build effective AI agents:
- Anthropic's guide on Building Effective AI Agents
- And Anthropic's cookbook for building effective agents
- Dave Ebbelaar's YouTube tutorials and AI Cookbook
- LangChain's YouTube tutorial on how to build effective agents with LangChain as well as their Notion page
- LangChain's official documentation and tutorials
- LangGraph also has their own walkthrough on building effective agents
- CodeBasic's AI Agents YouTube tutorial and GitHub repo